P Darvishi - Radiology Department, Asia International Hospital, Sulaymaniyah, Iraq
Abdalaziz Salih Hussein - Department of Medicine, University of Sulaymaniyah, Sulaymaniyah, Iraq

Breast cancer ranks among the frequently occurring malignant tumours in women, casting a grave impact on their physical and emotional well-being. Furthermore, the primary challenges in breast cancer screening and imaging diagnosis arise from intricate and variable image attributes, varying image quality, and disparities in interpretation among diverse radiologists and medical facilities. Artificial Intelligence (AI) has emerged as a transformative force in the field of medical imaging, revolutionizing the early diagnosis and analysis of breast tumours. The field of breast imaging is undergoing rapid development with promising outcomes thanks to the advancements in artificial intelligence (AI). At present, artificial intelligence can replicate clinical reasoning to facilitate diagnoses, notably in cases of breast cancer. In this article, the fundamental principles of AI and its application in the realm of breast medical imaging, spanning across mammography, ultrasound, and MRI. It delves deeply into activities such as identifying, segmenting, and classifying lesions, along with evaluating breast density and assessing the risk of breast cancer. In addition, we consolidate the latest advancements in AI-supported imaging diagnosis and explore the strides made in clinically-oriented, AI-driven accurate diagnosis of breast cancer. Finally, it is concluded that the "better" method depends on the specific clinical scenario, the goals of the diagnosis, and the capabilities of the AI algorithms. The integration of AI in medical imaging is a rapidly evolving field, and ongoing research and validation are essential to determine the most effective applications in breast cancer diagnosis.

Breast Cancer, Medical Imaging, Artificial Intelligence, Challenges, Future Prospects